Musical preference but not familiarity influences subjective ratings and psychophysiological correlates of music-induced emotions

Fuentes-Sánchez, N., Pastor, R., Eerola, T., Escrig, M. A., & Pastor, M. C. (2022). Personality & Individual Differences, 198, N.PAG. https://doi-org.ezproxy.mica.edu/10.1016/j.paid.2022.111828

In this study, the participants’ affective dimensions (hedonic valence, tension arousal, and energy arousal) and musical preference were rated using a 9-point scale; their familiarity was rated on a 3-point scale

  • Strong correlation between musical preference and emotion; familiarity and emotion has less correlation

  • Great influence of musical preference on music-induced emotions

  • More evidence about the role of individual differences in the emotional processing through music

  • More evidence for the need for Vibes; everyone’s music induced emotions are triggered by different types of music; therefore, there’s never a one size fits all song that can be “sad” for one person the same way it can be “sad” for another person

Emotions, Mechanisms, and Individual Differences in Music Listening: A Stratified Random Sampling Approach.

JUSLIN, P. N., SAKKA, L. S., BARRADAS, G. T., & LARTILLOT, O. (2022). Music Perception, 40(1), 55–86. https://doi-org.ezproxy.mica.edu/10.1525/MP.2022.40.1.55'

  • One of the results is that self-reported mechanisms for songs predicted felt emotions better than did acoustic features

  • Individual differences in emotional responses can be at least partially explained by individual listeners showing partly different emotion-mechanism links across stimuli

  • Based on self-reported mechanisms in multiple regression analyses from this study, felt emotions can be accurately predicted

  • The most frequent of the mechanisms featured was rhythmic entrainment, and the least frequent of the mechanisms was brain stem reflex

  • This study is helpful for this project because it proves how important self-reporting mechanisms are for curating mood playlists